South America Data Center Market Size and Share

South America Data Center Market (2025 - 2030)

South America Data Center Market Analysis by Mordor Intelligence

The South America Data Center Market size is estimated at USD 3.78 billion in 2025, and is expected to reach USD 6.42 billion by 2030, at a CAGR of 11.18% during the forecast period (2025-2030). In terms of the IT Load capacity, the market is expected to grow from 1.51 thousand megawatts in 2025 to 2.23 thousand megawatts by 2030, at a CAGR of 8.16% during the forecast period (2025-2030). The market segment shares and estimates are calculated and reported in terms of MW. Rapid cloud adoption, hyperscale capital expenditure, and 5G-driven edge computing are the primary demand catalysts, while submarine cable additions and renewable energy power-purchase agreements are reshaping total cost of ownership. Competitive activity is intensifying as global and regional players deploy large-scale facilities in São Paulo, Santiago, and selected secondary metros. Government data-localization mandates and fintech regulation in Brazil and Chile are simultaneously creating mandatory in-country processing requirements and lifting enterprise confidence in local infrastructure. Persistent challenges around grid stability, water availability, and permitting timelines, however, continue to influence site selection and project economics.

Key Report Takeaways

  • By data center size, large facilities led with 54.15% revenue share in 2024; massive and mega campuses are advancing at an 8.12% CAGR through 2030.  
  • By tier standard, Tier 3 captured 30.56% of the South America data center market share in 2024, while Tier 4 is projected to post the fastest 8.20% CAGR to 2030.  
  • By data center type, colocation accounted for 76.74% share of the South America data center market size in 2024; hyperscale and self-built facilities are rising at an 8.40% CAGR through 2030. 
  • By end user industry, IT and telecommunications commanded 58.50% share in 2024; BFSI is forecast to record an 8.39% CAGR over the outlook period.  
  • By geography, Brazil controlled 73.55% of installed capacity in 2024, while Chile is set to grow at a 9.50% CAGR through 2030.  

Segment Analysis

By Data Center Size: Large Campuses Anchor Regional Supply

Large facilities accounted for 54.15% of the installed capacity in 2024, reflecting the consolidation of the South America data center market around hyperscale campuses that can secure bulk power and carrier-dense connectivity. Amazon’s Chile project alone earmarks multiple 50 MW halls, while São Paulo’s biggest campus surpassed 200 MW under V.tal’s Tecto initiative. Operators value the operating-expense efficiency that large footprints deliver through optimized power-usage effectiveness, centralized operations, and renewable energy aggregation.

Momentum is shifting further toward mega and massive footprints as cloud AI training clusters demand dense compute blocks. The South America data center market size for large sites is projected to rise at an 8.12% CAGR, outpacing small and medium categories. Secondary metros such as Belo Horizonte and Bogotá are witnessing the first proposals for 20-40 MW builds, signaling that scale economics are expanding beyond traditional hubs. Regulatory scrutiny is higher for mega builds, yet streamlined permitting in Chile and federal incentives in Brazil’s north have reduced lead times by four to six months relative to 2022.

South America Data Center Market: Market Share by Data Center Size

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By Tier Standard: Tier 3 Remains Workhorse as Tier 4 Gains Traction

Tier 3 platforms delivered 30.56% of regional capacity in 2024 and continue to serve enterprise colocation, hybrid cloud deployments, and content networks that need robust uptime without the premium of Tier 4. Banking and payment processors, however, drove an 8.20% CAGR forecast for Tier 4, seeking fault-tolerant infrastructure to meet 99.99% availability mandates. The South America data center market share for Tier 4 is growing fastest in Brazil, where São Paulo’s financial district interconnects dozens of critical trading systems.

Chile’s National Data Centers Plan incentivizes both Tier 3 and Tier 4 by offering expedited environmental clearance for sites that conform to ISO 27001 and national seismic standards. Hybrid configurations are appearing inside the same compound, allowing operators to segment racks by resilience level. Lower-tier footprints are gradually phasing out as customers migrate test workloads to public cloud and reserve on-premise space for legacy equipment headed for retirement.

By Data Center Type: Colocation Dominates, Hyperscale Ascends

Colocation retained a 76.74% share in 2024, underscoring the fragmented ownership of IT infrastructure among enterprises and the strong preference for local partners among multinationals. Neutral facilities like Equinix SP5 and SCL1 form the backbone of regional carrier interconnection, complementing submarine landing stations for Firmina, Malbec, and other cables. Growing AI workloads, however, are tilting expansion budgets toward hyperscale self-builds, lifting that category by an 8.40% CAGR.

Retail colocation remains vital for SMEs and regional SaaS vendors that prioritize service bundles over raw power. Wholesale colocation sees the largest average contract sizes as cloud providers pre-lease entire suites to accelerate go-live schedules. Enterprise and edge deployments register a niche yet rising contribution, fueled by the need for private 5G and telco network-function virtualization, which requires sub-10 millisecond latency. The South America data center market size for edge centers will climb faster once national regulators allocate contiguous mid-band spectrum for industry use.

South America Data Center Market: Market Share by Data Center Type

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By End User Industry: IT and Telecom Lead, BFSI Surges

IT and telecommunications entities consumed 58.50% of total power in 2024, reflecting the high demand for 100G wavelengths and cross-connect bookings at carrier-neutral sites. Cloud migration, CDN expansion, and telco network transformation underpin steady procurement of additional white space. BFSI workloads, however, are expanding at an 8.39% CAGR to 2030 as digital banking, open-finance APIs, and real-time payment rails necessitate ultra-low-latency, compliant hosting.

Government workloads lag in absolute size yet display rising deal flow as digital-services ministries push “cloud-first” procurement policies. Media and entertainment archives are migrating to object storage clouds, but live streaming still prefers proximate edge caches to minimize last-mile jitter. Manufacturing uptake jumped after the successful 5G private-network proof points in Brazil, propelling a pipeline of brownfield retrofits that integrate edge micro-centers with robotics and analytics stacks.

Geography Analysis

Brazil held 73.55% of South America data center market share in 2024. São Paulo’s dense fiber rings and financial-services concentration make it the default landing point for new submarine systems and the preferred zone for multi-tenant build-outs. Institutional capital’s entry—illustrated by Patria’s USD 1 billion platform—has added professional real-estate execution capacity, shortening delivery cycles in secondary metros such as Campinas and Fortaleza.

Chile registers the fastest 9.50% CAGR ahead of 2030. The government’s USD 2.5 billion investment-attraction roadmap bundles pre-zoned land near solar farms, relaxed diesel storage limits, and fast-track municipal permits. AWS’s USD 4 billion commitment and Google’s Humboldt cable together elevate Santiago to a dual-timezone node that bridges North-South America traffic and future Asia-Pacific flows. High solar and wind capacity enables operators to close 15-year renewable PPAs at discounts to fossil grid tariffs, lifting Santiago’s competitiveness despite seismic-design costs.

The rest of South America presents a mosaic of growth vectors. Colombia’s pro-business data-privacy reform is coaxing Bogotá-based outsourcers to shift from tier-2 facilities to certified tier-3 colocation, while a Bogotá-Cali-Medellín fiber triangle positions the country for edge deployments. Argentina’s liquidity constraints and currency volatility slow greenfield announcements; nonetheless, existing Buenos Aires sites are adding modular extensions to safeguard multinationals’ presence. Peru and Uruguay leverage new cable landings for latency-sensitive mining analytics and fintech hosting, respectively. These markets collectively benefit from nine submarine projects worth over USD 2 billion scheduled for service between 2025-2027, which will ease transit bottlenecks and open new peering options.

Competitive Landscape

Roughly three-quarters of installed megawatts reside in three metro areas—São Paulo, Santiago, and Querétaro—indicating moderate concentration yet leaving ample whitespace across the continent. Hyperscalers such as Amazon, Microsoft, and Google accelerate direct investment to control supply chains, including power procurement and fiber routes. International colocation leaders, notably Equinix and EdgeConneX, pursue M&A and joint-venture structures to secure land pipelines and diversify into edge.

Regional champions Ascenty, Scala, and ODATA capitalize on local permitting expertise and tax-incentive navigation, often delivering capacity faster than global entrants. The most differentiated strategies combine renewable-energy originations, submarine cable equity stakes, and software-defined infrastructure layers that boost utilization rates. Institutional investors now anchor multiproject platforms, exemplified by Patria and Actis, bringing pension and sovereign wealth capital into what was formerly a niche real-estate segment.

Competition is shifting toward sustainability credentials and AI-ready design. Liquid-immersion cooling pilots, 100% renewable commitments, and SOC 2 Type II certifications increasingly influence enterprise RFP shortlists. Providers able to verify Scope 3 emissions and guarantee 24 x 7 carbon-free energy sourcing are beginning to command pricing premiums, a trend likely to intensify as multinational tenants advance net-zero timelines.

South America Data Center Industry Leaders

  1. Google LLC

  2. ODATA S.A.

  3. GTD Manquehue S.A.

  4. Ascenty Data Centers e Telecomunicações S.A.

  5. Equinix, Inc.

  6. *Disclaimer: Major Players sorted in no particular order
South America Data Center Market
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Recent Industry Developments

  • May 2025: Patria launched a USD 1 billion data center platform to accelerate Brazilian greenfield and brownfield builds.
  • May 2025: Amazon confirmed a USD 4 billion AWS region in Chile, scheduled to enter service in 2026, with three availability zones.
  • June 2025: Google signed final agreements with Chile for the Humboldt subsea cable, budgeting USD 300-550 million and targeting readiness by 2027.
  • June 2025: Chile raised the diesel-storage threshold for permitting to 1,000 tons, exempting most data centers from environmental review.

Table of Contents for South America Data Center Industry Report

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Explosive growth in cloud and OTT services
    • 4.2.2 Aggressive hyperscale investments by U.S. tech majors
    • 4.2.3 Rapid 5G roll-out accelerating edge demand
    • 4.2.4 Data-localization mandates in Brazil and Chile
    • 4.2.5 Green-energy PPAs lowering TCO for operators
    • 4.2.6 Emerging fintech regulations driving in-country processing
  • 4.3 Market Restraints
    • 4.3.1 Volatile electricity tariffs and grid instability
    • 4.3.2 Slow permitting and land-use bureaucracy
    • 4.3.3 Water scarcity risks for cooling in drought-prone zones
    • 4.3.4 Political and currency volatility dampening FDI
  • 4.4 Value Chain and Distribution Channel Analysis
  • 4.5 Market Outlook
    • 4.5.1 IT Load Capacity
    • 4.5.2 Raised Floor Space
    • 4.5.3 Colocation Revenue
    • 4.5.4 Installed Racks
    • 4.5.5 Rack Space Utilization
    • 4.5.6 Submarine Cable
  • 4.6 Key Industry Trends
    • 4.6.1 Smartphone Users
    • 4.6.2 Data Traffic Per Smartphone
    • 4.6.3 Mobile Data Speed
    • 4.6.4 Broadband Data Speed
    • 4.6.5 Fiber Connectivity Network
    • 4.6.6 Regulatory Framework
    • 4.6.6.1 Brazil
    • 4.6.6.2 Chile
    • 4.6.6.3 Rest of South America
  • 4.7 Technological Outlook
  • 4.8 Porter's Five Forces Analysis
    • 4.8.1 Threat of New Entrants
    • 4.8.2 Bargaining Power of Buyers
    • 4.8.3 Bargaining Power of Suppliers
    • 4.8.4 Threat of Substitutes
    • 4.8.5 Competitive Rivalry

5. MARKET SIZE AND GROWTH FORECASTS (MW)

  • 5.1 By Data Center Size
    • 5.1.1 Large
    • 5.1.2 Massive
    • 5.1.3 Medium
    • 5.1.4 Mega
    • 5.1.5 Small
  • 5.2 By Tier Standard
    • 5.2.1 Tier 1 and 2
    • 5.2.2 Tier 3
    • 5.2.3 Tier 4
  • 5.3 By Data Center Type
    • 5.3.1 Hyperscale/Self-built
    • 5.3.2 Enterprise/Edge
    • 5.3.3 Colocation
    • 5.3.3.1 Non-Utilized
    • 5.3.3.2 Utilized
    • 5.3.3.2.1 Retail Colocation
    • 5.3.3.2.2 Wholesale Colocation
  • 5.4 By End User Industry
    • 5.4.1 BFSI
    • 5.4.2 IT and ITES
    • 5.4.3 E-Commerce
    • 5.4.4 Government
    • 5.4.5 Manufacturing
    • 5.4.6 Media and Entertainment
    • 5.4.7 Telecom
    • 5.4.8 Other End Users
  • 5.5 By Country
    • 5.5.1 Brazil
    • 5.5.2 Chile
    • 5.5.3 Rest of South America

6. COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
    • 6.4.1 Google LLC
    • 6.4.2 ODATA S.A.
    • 6.4.3 GTD Manquehue S.A.
    • 6.4.4 Ascenty Data Centers e Telecomunicações S.A.
    • 6.4.5 Equinix, Inc.
    • 6.4.6 EdgeConneX, Inc.
    • 6.4.7 SONDA S.A.
    • 6.4.8 Cirion Technologies Inc.
    • 6.4.9 NABIAX S.A.
    • 6.4.10 IPXON Networks S.A.
    • 6.4.11 Entel S.A.
    • 6.4.12 Centrilogic Inc.
    • 6.4.13 Scala Data Centers Participações S.A.
    • 6.4.14 E-Commerce Park N.V.
    • 6.4.15 Kyndryl Holdings, Inc.

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and unmet-need assessment
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South America Data Center Market Report Scope

By Data Center Size
Large
Massive
Medium
Mega
Small
By Tier Standard
Tier 1 and 2
Tier 3
Tier 4
By Data Center Type
Hyperscale/Self-built
Enterprise/Edge
Colocation Non-Utilized
Utilized Retail Colocation
Wholesale Colocation
By End User Industry
BFSI
IT and ITES
E-Commerce
Government
Manufacturing
Media and Entertainment
Telecom
Other End Users
By Country
Brazil
Chile
Rest of South America
By Data Center Size Large
Massive
Medium
Mega
Small
By Tier Standard Tier 1 and 2
Tier 3
Tier 4
By Data Center Type Hyperscale/Self-built
Enterprise/Edge
Colocation Non-Utilized
Utilized Retail Colocation
Wholesale Colocation
By End User Industry BFSI
IT and ITES
E-Commerce
Government
Manufacturing
Media and Entertainment
Telecom
Other End Users
By Country Brazil
Chile
Rest of South America
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Market Definition

  • IT LOAD CAPACITY - The IT load capacity or installed capacity, refers to the amount of energy consumed by servers and network equipments placed in a rack installed. It is measured in megawatt (MW).
  • ABSORPTION RATE - It denotes the extend to which the data center capacity has been leased out. For instance, a 100 MW DC has leased out 75 MW, then absorption rate would be 75%. It is also referred as utilization rate and leased-out capacity.
  • RAISED FLOOR SPACE - It is an elevated space build over the floor. This gap between the original floor and the elevated floor is used to accommodate wiring, cooling, and other data center equipment. This arrangement assist in having proper wiring and cooling infrastructure. It is measured in square feet (ft^2).
  • DATA CENTER SIZE - Data Center Size is segmented based on the raised floor space allocated to the data center facilities. Mega DC - # of Racks must be more than 9000 or RFS (raised floor space) must be more than 225001 Sq. ft; Massive DC - # of Racks must be in between 9000 and 3001 or RFS must be in between 225000 Sq. ft and 75001 Sq. ft; Large DC - # of Racks must be in between 3000 and 801 or RFS must be in between 75000 Sq. ft and 20001 Sq. ft; Medium DC # of Racks must be in between 800 and 201 or RFS must be in between 20000 Sq. ft and 5001 Sq. ft; Small DC - # of Racks must be less than 200 or RFS must be less than 5000 Sq. ft.
  • TIER TYPE - According to Uptime Institute the data centers are classified into four tiers based on the proficiencies of redundant equipment of the data center infrastructure. In this segment the data center are segmented as Tier 1,Tier 2, Tier 3 and Tier 4.
  • COLOCATION TYPE - The segment is segregated into 3 categories namely Retail, Wholesale and Hyperscale Colocation service. The categorization is done based on the amount of IT load leased out to potential customers. Retail colocation service has leased capacity less than 250 kW; Wholesale colocation services has leased capacity between 251 kW and 4 MW and Hyperscale colocation services has leased capacity more than 4 MW.
  • END CONSUMERS - The Data Center Market operates on a B2B basis. BFSI, Government, Cloud Operators, Media and Entertainment, E-Commerce, Telecom and Manufacturing are the major end-consumers in the market studied. The scope only includes colocation service operators catering to the increasing digitalization of the end-user industries.
Keyword Definition
Rack Unit Generally referred as U or RU, it is the unit of measurement for the server unit housed in the racks in the data center. 1U is equal to 1.75 inches.
Rack Density It defines the amount of power consumed by the equipment and server housed in a rack. It is measured in kilowatt (kW). This factor plays a critical role in data center design and, cooling and power planning.
IT Load Capacity The IT load capacity or installed capacity, refers to the amount of energy consumed by servers and network equipment placed in a rack installed. It is measured in megawatt (MW).
Absorption Rate It denotes how much of the data center capacity has been leased out. For instance, if a 100 MW DC has leased out 75 MW, then the absorption rate would be 75%. It is also referred to as utilization rate and leased-out capacity.
Raised Floor Space It is an elevated space built over the floor. This gap between the original floor and the elevated floor is used to accommodate wiring, cooling, and other data center equipment. This arrangement assists in having proper wiring and cooling infrastructure. It is measured in square feet/meter.
Computer Room Air Conditioner (CRAC) It is a device used to monitor and maintain the temperature, air circulation, and humidity inside the server room in the data center.
Aisle It is the open space between the rows of racks. This open space is critical for maintaining the optimal temperature (20-25 °C) in the server room. There are primarily two aisles inside the server room, a hot aisle and a cold aisle.
Cold Aisle It is the aisle wherein the front of the rack faces the aisle. Here, chilled air is directed into the aisle so that it can enter the front of the racks and maintain the temperature.
Hot Aisle It is the aisle where the back of the racks faces the aisle. Here, the heat dissipated from the equipment’s in the rack is directed to the outlet vent of the CRAC.
Critical Load It includes the servers and other computer equipment whose uptime is critical for data center operation.
Power Usage Effectiveness (PUE) It is a metric which defines the efficiency of a data center. It is calculated by: (𝑇𝑜𝑡𝑎𝑙 𝐷𝑎𝑡𝑎 𝐶𝑒𝑛𝑡𝑒𝑟 𝐸𝑛𝑒𝑟𝑔𝑦 𝐶𝑜𝑛𝑠𝑢𝑚𝑝𝑡𝑖𝑜𝑛)/(𝑇𝑜𝑡𝑎𝑙 𝐼𝑇 𝐸𝑞𝑢𝑖𝑝𝑚𝑒𝑛𝑡 𝐸𝑛𝑒𝑟𝑔𝑦 𝐶𝑜𝑛𝑠𝑢𝑚𝑝𝑡𝑖𝑜𝑛). Further, a data center with a PUE of 1.2-1.5 is considered highly efficient, whereas, a data center with a PUE >2 is considered highly inefficient.
Redundancy It is defined as a system design wherein additional component (UPS, generators, CRAC) is added so that in case of power outage, equipment failure, the IT equipment should not be affected.
Uninterruptible Power Supply (UPS) It is a device that is connected in series with the utility power supply, storing energy in batteries such that the supply from UPS is continuous to IT equipment even during utility power is snapped. The UPS primarily supports the IT equipment only.
Generators Just like UPS, generators are placed in the data center to ensure an uninterrupted power supply, avoiding downtime. Data center facilities have diesel generators and commonly, 48-hour diesel is stored in the facility to prevent disruption.
N It denotes the tools and equipment required for a data center to function at full load. Only "N" indicates that there is no backup to the equipment in the event of any failure.
N+1 Referred to as 'Need plus one', it denotes the additional equipment setup available to avoid downtime in case of failure. A data center is considered N+1 when there is one additional unit for every 4 components. For instance, if a data center has 4 UPS systems, then for to achieve N+1, an additional UPS system would be required.
2N It refers to fully redundant design wherein two independent power distribution system is deployed. Therefore, in the event of a complete failure of one distribution system, the other system will still supply power to the data center.
In-Row Cooling It is the cooling design system installed between racks in a row where it draws warm air from the hot aisle and supplies cool air to the cold aisle, thereby maintaining the temperature.
Tier 1 Tier classification determines the preparedness of a data center facility to sustain data center operation. A data center is classified as Tier 1 data center when it has a non-redundant (N) power component (UPS, generators), cooling components, and power distribution system (from utility power grids). The Tier 1 data center has an uptime of 99.67% and an annual downtime of <28.8 hours.
Tier 2 A data center is classified as Tier 2 data center when it has a redundant power and cooling components (N+1) and a single non-redundant distribution system. Redundant components include extra generators, UPS, chillers, heat rejection equipment, and fuel tanks. The Tier 2 data center has an uptime of 99.74% and an annual downtime of <22 hours.
Tier 3 A data center having redundant power and cooling components and multiple power distribution systems is referred to as a Tier 3 data center. The facility is resistant to planned (facility maintenance) and unplanned (power outage, cooling failure) disruption. The Tier 3 data center has an uptime of 99.98% and an annual downtime of <1.6 hours.
Tier 4 It is the most tolerant type of data center. A Tier 4 data center has multiple, independent redundant power and cooling components and multiple power distribution paths. All IT equipment are dual powered, making them fault tolerant in case of any disruption, thereby ensuring interrupted operation. The Tier 4 data center has an uptime of 99.74% and an annual downtime of <26.3 minutes.
Small Data Center Data center that has floor space area of ≤ 5,000 Sq. ft or the number of racks that can be installed is ≤ 200 is classified as a small data center.
Medium Data Center Data center which has floor space area between 5,001-20,000 Sq. ft, or the number of racks that can be installed is between 201-800, is classified as a medium data center.
Large Data Center Data center which has floor space area between 20,001-75,000 Sq. ft, or the number of racks that can be installed is between 801-3,000, is classified as a large data center.
Massive Data Center Data center which has floor space area between 75,001-225,000 Sq. ft, or the number of racks that can be installed is between 3001-9,000, is classified as a massive data center.
Mega Data Center Data center that has a floor space area of ≥ 225,001 Sq. ft or the number of racks that can be installed is ≥ 9001 is classified as a mega data center.
Retail Colocation It refers to those customers who have a capacity requirement of 250 kW or less. These services are majorly opted by small and medium enterprises (SMEs).
Wholesale Colocation It refers to those customers who have a capacity requirement between 250 kW to 4 MW. These services are majorly opted by medium to large enterprises.
Hyperscale Colocation It refers to those customers who have a capacity requirement greater than 4 MW. The hyperscale demand primarily originates from large-scale cloud players, IT companies, BFSI, and OTT players (like Netflix, Hulu, and HBO+).
Mobile Data Speed It is the mobile internet speed a user experiences via their smartphones. This speed is primarily dependent on the carrier technology being used in the smartphone. The carrier technologies available in the market are 2G, 3G, 4G, and 5G, where 2G provides the slowest speed while 5G is the fastest.
Fiber Connectivity Network It is a network of optical fiber cables deployed across the country, connecting rural and urban regions with high-speed internet connection. It is measured in kilometer (km).
Data Traffic per Smartphone It is a measure of average data consumption by a smartphone user in a month. It is measured in gigabyte (GB).
Broadband Data Speed It is the internet speed that is supplied over the fixed cable connection. Commonly, copper cable and optic fiber cable are used in both residential and commercial use. Here, optic cable fiber provides faster internet speed than copper cable.
Submarine Cable A submarine cable is a fiber optic cable laid down at two or more landing points. Through this cable, communication and internet connectivity between countries across the globe is established. These cables can transmit 100-200 terabits per second (Tbps) from one point to another.
Carbon Footprint It is the measure of carbon dioxide generated during the regular operation of a data center. Since, coal, and oil & gas are the primary source of power generation, consumption of this power contributes to carbon emissions. Data center operators are incorporating renewable energy sources to curb the carbon footprint emerging in their facilities.
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Research Methodology

Mordor Intelligence follows a four-step methodology in all our reports.

  • Step-1: Identify Key Variables: In order to build a robust forecasting methodology, the variables and factors identified in Step-1 are tested against available historical market numbers. Through an iterative process, the variables required for market forecast are set and the model is built on the basis of these variables.
  • Step-2: Build a Market Model: Market-size estimations for the forecast years are in nominal terms. Inflation is not a part of the pricing, and the average selling price (ASP) is kept constant throughout the forecast period for each country.
  • Step-3: Validate and Finalize: In this important step, all market numbers, variables and analyst calls are validated through an extensive network of primary research experts from the market studied. The respondents are selected across levels and functions to generate a holistic picture of the market studied.
  • Step-4: Research Outputs: Syndicated Reports, Custom Consulting Assignments, Databases & Subscription Platforms
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