New Product Forecasting Artificial Intelligence (AI) Global Market Report 2025

The new product forecasting artificial intelligence (AI) market size has grown exponentially in recent years. It will grow from $1.63 billion in 2024 to $2.09 billion in 2025 at a compound annual growth rate (CAGR) of 28.8%. The growth in the historic period can be attributed to rising adoption of smart devices, growing demand for context-aware systems, increasing use of internet of things (IoT)-based sensors, expansion of connected infrastructure, and rising focus on personalized user experiences.

The new product forecasting artificial intelligence (AI) market size is expected to see exponential growth in the next few years. It will grow to $5.69 billion in 2029 at a compound annual growth rate (CAGR) of 28.4%. The growth in the forecast period can be attributed to rising implementation of smart city projects, growing demand for AI-powered location services, increasing adoption of cloud-based ambient systems, rising investment in context-aware computing, and growing focus on enhancing user engagement. Key trends in the forecast period include advancements in AI-powered predictive algorithms, development of real-time demand sensing solutions, innovation in machine learning-based forecasting models, progress in integrating big data analytics with forecasting, and development of cloud-native product forecasting platforms.

The growing emphasis on digital transformation is expected to drive the growth of the new product forecasting artificial intelligence (AI) market going forward. Digital transformation refers to the adoption of digital technologies to improve business processes, enhance customer experiences, and drive innovation across the organization. Its rise is driven by the need to deliver faster, more personalized, and seamless customer experiences to remain competitive. New product forecasting artificial intelligence (AI) supports digital transformation by enabling data-driven decision-making, allowing businesses to predict market demand with higher accuracy. It streamlines product launch planning through automation and real-time insights, improving efficiency and reducing risks in innovation processes. For instance, in July 2024, according to the Office for National Statistics, a UK-based government agency, the digital infrastructure program received a $535 million (£434 million) investment by 2022, with an additional $907 million (£736 million) allocated for 2023 to 2025. Therefore, the growing emphasis on digital transformation is fueling the growth of the new product forecasting artificial intelligence (AI) market.

Key companies in the new product forecasting artificial intelligence (AI) market are focusing on developing advanced solutions, such as automatic trend adjustment systems, to boost forecast accuracy and adaptability in new product launches. Automatic trend adjustment systems refer to AI-driven platforms that automatically detect and adjust for changing market trends, seasonality, and consumer behavior to improve the accuracy of new product forecasts. For instance, in January 2025, Belle AI, a US-based artificial intelligence company, launched the next-generation Like4Like analysis for new product forecasting. The platform leverages advanced machine learning to perform granular, multi-attribute matching, analyzing factors such as brand positioning, packaging aesthetics, and ingredient profiles. It includes automatic trend adjustment and scenario-modeling functionalities, enabling precise forecasting of a new product's potential market share and sales trajectory without extensive manual intervention.

In January 2024, Evaluate Ltd., a UK-based pharma forecasting company, acquired J+D Forecasting Ltd. for an undisclosed amount. Through this acquisition, Evaluate aims to enhance its data-driven forecasting capabilities and strengthen its position in delivering advanced AI-powered forecasting solutions for the pharmaceutical and healthcare industries. J+D Forecasting Ltd. is a UK-based healthcare analytics and forecasting company specializing in new product forecasting artificial intelligence (AI) solutions for the pharmaceutical and healthcare sectors.

Major players in the new product forecasting artificial intelligence (AI) market are Amazon Web Services Incorporated, Google LLC, Microsoft Corporation, International Business Machines Corporation, Oracle Corporation, Salesforce Incorporated, SAP SE, Infor Incorporated, Alteryx Incorporated, Kinaxis Incorporated, Anaplan Incorporated, DataRobot Incorporated, Board International S.A., H2O.ai Incorporated, NextGen Invent, RapidMiner Incorporated, SAS Institute Inc., Ikigai Labs, ImpactiveAI, and Panorad AI.

North America was the largest region in the new product forecasting artificial intelligence (AI) market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in new product forecasting artificial intelligence (AI) report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the new product forecasting artificial intelligence (AI) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

The new product forecasting artificial intelligence (AI) market research report is one of a series of new reports that provides new product forecasting artificial intelligence (AI) market statistics, including new product forecasting artificial intelligence (AI) industry global market size, regional shares, competitors with a new product forecasting artificial intelligence (AI) market share, detailed new product forecasting artificial intelligence (AI) market segments, market trends and opportunities, and any further data you may need to thrive in the new product forecasting artificial intelligence (AI) industry. This new product forecasting artificial intelligence (AI) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

New product forecasting artificial intelligence (AI) refers to the use of AI-driven algorithms and machine learning models to predict the market performance, demand, and sales potential of new products before and after launch. It analyzes historical data, market trends, customer behavior, and competitive dynamics to generate accurate forecasts. It helps improve product planning and decision-making by reducing uncertainty, optimizing inventory, and enhancing go-to-market strategies.

The key components of new product forecasting artificial intelligence (AI) are software, hardware, and services. Software refers to digital platforms and applications that use machine learning, predictive analytics, and data modeling techniques to forecast the demand and performance of new products. It is deployed through cloud and on-premises models and serves both large enterprises and small and medium enterprises (SMEs). It finds applications across end users such as retailers, manufacturers, distributors, e-commerce companies, and others.

The new product forecasting artificial intelligence (AI) market consists of revenues earned by entities by providing services such as demand prediction, market trend analysis, product performance forecasting, consumer behavior analytics, and data-driven product strategy optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. The new product forecasting AI market also includes sales of artificial intelligence (AI) software platforms, predictive analytics tools, machine learning models, data integration solutions, and business intelligence dashboards. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

This product will be delivered within 3-5 business days.