Industry analysts agree that cognitive technologies will revolutionise supply-chain operations over the next decade, but projections for market size and growth rate vary widely, influenced by definitions, adoption rates, and regional factors.
Market research firms are converging on a conclusion that cognitive technologies are poised to transform supply-chain operations over the coming decade, but projections for the sector’s size and pace of expansion vary considerabl...
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According to Coherent Market Insights, the cognitive supply‑chain market will attract sustained interest through the end of the decade as firms seek tools to optimise planning, inventory and logistics. The consultancy highlights a competitive field that includes major enterprise software vendors such as IBM, SAP, Oracle and niche supply‑chain specialists such as Kinaxis and Blue Yonder, and it outlines segmental demand across planning, inventory optimisation and transport management. The report’s regional breakdown underscores North America, Europe and Asia‑Pacific as principal markets for deployment and revenue generation.
Other forecasters present alternative trajectories. Grand View Research projects the market will reach about USD 21.35 billion by 2030, citing rising adoption of data‑driven decision making and automation to improve forecasting and inventory control. KBV Research offers a similar near‑term view, estimating roughly USD 20.7 billion by 2030 and noting strong 2022 revenues from on‑premise deployments alongside robust growth prospects for IoT integrations. Grand View Research’s separate United States outlook anticipates the U.S. market alone approaching USD 5.28 billion by 2030, with cloud uptake accelerating during the forecast period.
By contrast, Future Market Insights’ analysis, reported via GlobeNewswire, is markedly more bullish: it forecasts the cognitive supply‑chain market expanding from about USD 9.5 billion in 2024 to USD 40.4 billion by 2034 at a roughly 15.6% CAGR, pointing to e‑commerce expansion and pervasive IoT sensor adoption as key accelerants. SNS Insider’s summary similarly projects strong growth, estimating the market could reach about USD 32.6 billion by 2032, driven principally by demand for predictive analytics within global logistics. These discrepancies illustrate how differing definitions of the market, forecast horizons and included solution sets (for example, whether adjacent planning and analytics tools are counted) materially affect headline numbers.
Industry analysts identify several common drivers behind demand. Widespread uptake of machine learning and advanced analytics is enabling more accurate demand forecasting and scenario planning; connected devices are improving inventory and fleet visibility; and e‑commerce growth is intensifying the need for agility and last‑mile optimisation. At the same time, vendors and consultancies warn of obstacles: data quality and integration challenges, skills shortages in AI and data engineering, and the capital and organisational change required to move legacy systems to cloud‑native or hybrid architectures.
Competition is shifting as established enterprise software providers compete with specialised supply‑chain platforms and consulting firms offering implementation and managed services. According to the market briefs, buyers are evaluating not just functional capability but also vendor ecosystems, consulting support and the ability to deliver measurable return on investment. Several reports recommend that procurement teams focus on pilot programmes that tie technology adoption to specific operational KPIs rather than broad, unfunded transformation mandates.
Taken together, the research landscape suggests cognitive supply‑chain solutions will play an increasingly central role in corporate logistics and operations, but stakeholders should treat headline market figures with caution and examine the underlying assumptions behind each forecast. Industry data and vendor statements indicate clear momentum, yet the precise size and timing of the market’s expansion remain contingent on how quickly organisations can overcome integration, talent and governance hurdles.
Source: Noah Wire Services



