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Carbonated Soft Drinks Csds MarketSize, Share & Industry Analysis, 2026-2034By TypeBy ApplicationBy PackagingBy Sweetener TypeBy End-use

Full title & scope — all 5 axes with their segments

Carbonated Soft Drinks Csds Market Size, Share & Industry Analysis, By Type (Carbonated Water, Sports & Energy Drinks, Other), By Application (Online, Supermarket, Other), By Packaging (PET Bottles, Cans, Glass Bottles, Fountain/Post-Mix), By Sweetener Type (Regular/Sugar-Sweetened, Diet/Low-Calorie, Zero-Sugar/Natural Sweetener), By End-use (Off-Premise, On-Premise), and Regional Forecast, 2026-2034

Last Updated: Sep 21, 2026Report ID: CDI-7484
Methodology

How the estimates were built: data sources, modelling approach and validation steps.

Research approach

A market size is a claim about the world, and a claim is only as good as the route to it. Every study is built upward from units and prices — what is actually produced, sold or performed, at what it actually changes hands for — rather than from a headline figure divided downwards. Disclosed company revenue is then used to check that build, not to produce it.

Market size estimation, this report

Market value was built upward from estimated case and liter volumes sold across retail, foodservice and vending channels, multiplied by average realized price per liter in each region, since carbonated soft drinks are priced and reported by volume at the bottler level. Regional volume estimates drew on beverage-industry production and shipment data before applying channel-specific pricing to arrive at revenue by geography and format. This bottom-up build was then checked against revenue disclosed by Coca-Cola, PepsiCo and Keurig Dr Pepper in their segment reporting; where a region's implied bottler revenue diverged from disclosed figures, the underlying volume or price assumption for that region was corrected instead of averaging the two totals together.

The four stages

The same sequence runs behind every published study, whatever the industry. The order matters as much as the steps: the segment axes are fixed before any number is collected, so the model is never reshaped to fit whatever data happens to turn up.

1
Scope and segmentation
2
Bottom-up sizing
3
Reconciliation
4
Forecast

What the build rests on, and what checks it

The two are not interchangeable. The left column produces the number; the right column tests it. When the check disagrees with the build, the answer is to find which bottom-up assumption is wrong — a unit count, a price, a take-up rate — not to split the difference between them.

The bottom-up build rests on
  • Volume actually transacted — units produced, installed, dispensed or procedures performed, counted at the level each is genuinely recorded
  • Realised pricing by tier and channel, rather than one blended average applied across the whole market
  • Take-up and frequency: how much of the addressable base buys, and how often it repeats
The build is checked against
  • Disclosed revenue of the companies serving the market, where filings separate it far enough to be usable
  • Buyer-side spending totals — capital budgets, procurement lines, or the output of the end market the product is bought against
  • Trade and customs flows, where the product crosses borders in a separately recorded form
Bottom-up sequence
1
Size the base
2
Apply take-up
3
Apply frequency
4
Apply realised price
Reconciliation sequence
1
Gather disclosed revenue
2
Strip out-of-scope lines
3
Compare against the build
4
Correct the assumption

Data sources

Published data establishes what happened. Only the people transacting in a market can say why, and what is about to change — so the two are collected separately and weighted differently.

Primary — who is interviewed
  • Commercial and product leadership at the companies that supply the market
  • Procurement and specification leads at the organisations that buy it
  • Distributors, integrators and channel partners, where the market is served indirectly
  • Regulatory and standards specialists, where approval governs what can be sold at all
Secondary — what is read
  • Company filings, annual reports and investor disclosure
  • Government statistics, customs records and regulatory registers
  • Trade association output and standards-body publications
  • Technical and peer-reviewed literature, where the market rests on a clinical or engineering claim
Primary research design, this report

Primary interviews target commercial and procurement roles at bottlers, regional distributors and large retail buyers, alongside category managers at supermarket chains and foodservice purchasing leads who set shelf and menu placement. Regulatory contacts covering food-safety and labeling compliance in markets with active sugar-tax or nutrition-labeling rules are also included, since their decisions directly shape reformulation timing. Sampling weights toward North America, Europe and the largest Asia Pacific markets, where bottling networks are most concentrated and where the companies named in this report generate the bulk of their disclosed carbonated beverage revenue, with lighter coverage extended into Latin America and the Middle East to confirm regional pricing and channel mix assumptions.

Secondary sources, this report

Desk research draws on company segment disclosures filed with the SEC and equivalent regional regulators for Coca-Cola, PepsiCo, Keurig Dr Pepper, Suntory Beverage & Food and Asahi Group, together with national beverage-association production and shipment statistics published in the United States, the European Union and Japan. Customs trade codes covering concentrate and finished-beverage exports were used to cross-check regional volume flows, and national sugar-tax and nutrition-labeling registers were reviewed where such rules are in force, since these directly affect the reformulation and packaging trends captured in the forecast.

Desk research runs across proprietary research databases including Factiva, OneSource and Hoovers alongside the public sources above. Modelling and statistical validation are run in SAS and SPSS.

Forecasting

The forecast is not a growth rate applied to a base year. It is built from the drivers that are expected to change, each one stated so a reader can disagree with it.

Forecast approach, this report

The forecast is built from projected volume growth by channel and region, adjusted for the pace at which sugar-tax and nutrition-labeling rules already in force are expected to widen to additional markets, and for the continuing shift in pack mix toward cans and larger multipacks. Pricing assumptions carry through input-cost pass-through for aluminum, PET resin and sweeteners at a rate consistent with each region's recent history. Foodservice volume is normalized against pre-pandemic channel share instead of the depressed levels recorded in 2020 and 2021, since holding that anomaly forward would understate the on-premise recovery already visible in more recent years.

Triangulation and validation

No figure enters a report on the strength of one source. Where the two sizing routes disagree the difference is not averaged away — the assumption causing it is isolated, tested against a third independent measure, and either corrected or carried forward as a stated limitation. Historical years are back-tested against the growth actually recorded before any forecast is allowed to run forward from them.

Validation, this report

Outputs were back-tested against recorded category growth for 2020 through 2024 to confirm the volume and pricing assumptions reproduce known historical trends before being extended into the forecast. Segment-level shifts, particularly the pace of movement toward zero-sugar and naturally sweetened variants, were reviewed against the direction and scale of change already visible in company disclosures and industry association data. Sensitivities were tested on input-cost pass-through speed and on how quickly emerging markets adopt the packaging and channel mix already established in North America and Europe, to confirm the forecast holds under a slower-adoption case as well as the base case.

Confidence and limitations

Where an estimate is firm and where it is not is stated rather than left to be inferred from the precision of the number.

Confidence framing, this report

Confidence is firmest in North America, Europe and the largest East Asian markets, where bottler disclosures and national production statistics are frequent and detailed enough to anchor both volume and pricing assumptions directly. It is thinner across parts of the Middle East, Africa and smaller Latin American markets, where shipment reporting is less consistent and channel mix must be inferred from adjacent categories. A material shift in sugar-tax policy, a sharp swing in resin or sweetener costs, or a faster-than-expected move away from traditional sugar-sweetened recipes are the developments most likely to force a revision to this estimate.

Scope

Questions This Report Answers

6 questions
01

What is the market size and growth rate, globally and by region?

02

How is the market segmented, and which segments lead?

03

Which regions and countries are covered, and how do they compare?

04

What are the key drivers, restraints, opportunities and challenges?

05

Who are the leading companies operating in this market?

06

What trends are expected to shape the market through the forecast period?

Questions

Frequently Asked Questions

01What is the Carbonated Soft Drinks Csds projected to reach?

USD 660 Billion by 2034, CAGR 4.06%

02What years does this report cover?

Study period 2020–2034, base year 2025, historical data 2020-2024, forecast period 2026-2034.

03Which regions are covered?

North America, Europe, Asia Pacific, Latin America, Middle East and Africa.

04Which region accounted for the largest market share?

North America leads with 30% of global revenue through 2034.

05Which segment leads the market?

Other is the largest line by Type, at 66% of revenue in 2025.

06Who are the key companies profiled?

Pepsi, Coca-Cola, Uni-President, Watsons, Tenwow, Dr Pepper. Full profiles are part of the paid report.

07Can the segmentation be customized?

Yes. Custom data cuts by geography, segment, or competitor set are available on request.

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Why choose CDI

Data triangulated across primary and secondary sources
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