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Business Productivity Software Market to Grow by USD 119.4 Billion from 2025-2029, Driven by Large-Scale Business Portfolio Needs and AI-Redefined Landscape – Technavio

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NEW YORK, Jan. 13, 2025 /PRNewswire/ — Report with market evolution powered by AI – The global business productivity software market size is estimated to grow by USD 119.4 billion from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of 17.6% during the forecast period. Increasing requirements for large-scale business portfolio management is driving market growth, with a trend towards automatic updating and enhancing coherency in business operations. However, cybersecurity-related threats risk associated with business productivity software solutions poses a challenge. Key market players include Adobe Inc., Alphabet Inc., Amazon.com Inc., Asana Inc., Atlassian Corp Plc, Bending Spoons S.p.A., Broadcom Inc., Cisco Systems Inc., Dropbox Inc., Expensify Inc, International Business Machines Corp., Microsoft Corp, monday.com Ltd., Oracle Corp, Salesforce Inc., SAP SE, Smartsheet Inc., TIBCO Software Inc., Toggl, and Zoho Corp. Pvt. Ltd..

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Business Productivity Software Market Scope

Report Coverage

Details

Base year

2024

Historic period

2019 – 2023

Forecast period

2025-2029

Growth momentum & CAGR

Accelerate at a CAGR of 17.6%

Market growth 2025-2029

USD 119.4 billion

Market structure

Fragmented

YoY growth 2022-2023 (%)

15.2

Regional analysis

North America, Europe, APAC, South America, and Middle East and Africa

Performing market contribution

North America at 37%

Key countries

US, UK, China, Canada, Germany, France, Japan, Brazil, India, and Saudi Arabia

Key companies profiled

Adobe Inc., Alphabet Inc., Amazon.com Inc., Asana Inc., Atlassian Corp Plc, Bending Spoons S.p.A., Broadcom Inc., Cisco Systems Inc., Dropbox Inc., Expensify Inc, International Business Machines Corp., Microsoft Corp, monday.com Ltd., Oracle Corp, Salesforce Inc., SAP SE, Smartsheet Inc., TIBCO Software Inc., Toggl, and Zoho Corp. Pvt. Ltd.

Market Driver

Business productivity software is a vital toolset for organizations seeking to streamline operations, optimize resource utilization, and enhance employee performance. Trends in this market include completion times and productivity management, integration capabilities with communication platforms, workflow automation, and knowledge sharing. Cloud-based solutions offer flexibility and scalability, enabling access from laptops, tablets, and smartphones. AI and machine learning are integral, providing automation, decision-making support, and project updates. Key features include task tracking, communication channels, document collaboration tools, and data analytics. Data security is paramount, with encryption, access control, and intrusion detection software essential. Integration with ERP, CRM, and other business functions is crucial for operational efficiency and customer satisfaction. Cost-effective deployment models, such as subscription-based services, are popular. Hybrid work environments demand mobile capability and cybersecurity. Overall, business productivity software empowers organizations to turnaround projects faster, improve employee productivity, and make informed decisions based on real-time data. 

Business productivity management involves creating and updating project schedules, a time-consuming and frustrating task for project managers, engineers, and analysts. Intelligent project portfolio management scheduling tools integrated into business operating systems streamline this process. These tools prompt users to perform essential tasks and refer to a predefined process library for optimal output. If a process output is missing, the tool prompts a message to create it. Additionally, the tool checks for necessary skills and resources required to complete tasks, ensuring productivity and efficiency. 

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Market Challenges

Business productivity software is essential for managing completion times, optimizing employee productivity, and streamlining operations in today’s fast-paced business environment. However, selecting the right software comes with challenges such as integration capabilities with communication platforms, workflow tools, and document collaboration systems. Additionally, data silos can hinder business efficiency, making it crucial to choose cloud-based solutions with data analytics capabilities. Employees working remotely require mobile access to productivity software, making cloud-based services a popular choice. However, data security is paramount, so encryption, access control, and intrusion detection software are necessary. Communication channels, task tracking, and project planning are also essential features for business productivity. AI and automation can help optimize resource utilization, reduce turnaround times, and improve decision-making. ERP systems and business intelligence tools can provide valuable insights into project progress and employee performance. Subscription-based models offer cost-effectiveness, while on-premises solutions offer data security and control. Hybrid work environments require mobile capability, with laptops, tablets, and smartphones supporting productivity software. Collaboration tools and document management systems enable knowledge sharing and error reduction. Cloud technology and cyber threats require security measures, while scheduling software and telecommunications tools ensure effective project planning and customer satisfaction.Businesses prioritize data security in their use of productivity software, particularly in the context of cloud models like OpenStack. Man-in-the-middle (MiTM) attacks pose a threat to the object storage component of these applications. To mitigate risks, enterprises require advanced security features. A major concern is the lack of verification of certification authority (CA) credentials during SSL connections. With increasing data storage on cloud platforms, security becomes even more critical to prevent hacking and malware infections. Organizations demand security solutions to safeguard their productivity software investments.

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Segment Overview

This business productivity software market report extensively covers market segmentation by

Deployment 1.1 Cloud1.2 On-premisesEnd-user 2.1 Large enterprise2.2 SMEsGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa

1.1 Cloud- The business productivity software market has experienced a strong demand for cloud-based solutions due to their cost-efficiency and scalability. Cloud-based software eliminates the need for businesses to invest in costly hardware, infrastructure, and maintenance. This model is accessible to businesses of all sizes, including startups and small businesses. Cloud-based solutions offer easy scalability, allowing businesses to adjust their software usage as their needs change without significant upfront investments. Providers of cloud-based business management software, such as Microsoft and Google, frequently roll out updates and security patches, ensuring businesses have access to the latest features and security enhancements without the hassle of manual upgrades. Microsoft 365, a leading example of cloud-based productivity software, offers real-time collaboration, access to files from multiple devices, and automatic updates. Google Workspace, another prominent player, is popular for its collaborative features and cloud-based storage. The demand for cloud-based business productivity software is expected to continue growing as businesses increasingly rely on technology to streamline operations and remain competitive. This trend will positively impact the growth of the cloud segment of the business productivity software market during the forecast period.

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Research Analysis

The Business Productivity Software market is experiencing significant growth due to the increasing need for digital transformation, agile methodology, and change management in businesses of all sizes. Cloud computing plays a crucial role in enabling remote work solutions, HR technology, and enterprise resource planning. Lean management and business process automation help improve work-life balance and performance management. Digital transformation brings about the need for data-driven decision making, business intelligence, and data analytics tools. Industry-specific Business Process Services (BPS) cater to unique business functions, while data governance ensures data security and compliance with regulations. Disaster recovery, risk management, and cybersecurity solutions protect against potential threats. Hybrid cloud and IT infrastructure management provide flexibility and scalability. Data storage and data visualization tools help make sense of large data sets. Cloud migration and enterprise mobility enable a mobile workforce. Business continuity planning and project management tools keep operations running smoothly. Time tracking software and performance management solutions help optimize productivity. Employee engagement and experience are essential for talent acquisition and retention. Compliance and regulations, process improvement, and digital transformation continue to shape the future of the Business Productivity Software market.

Market Research Overview

Business productivity software refers to applications designed to help organizations streamline operations, optimize resource utilization, and enhance employee productivity. These solutions offer various features such as task management, communication channels, workflow automation, knowledge sharing, and reporting. Integration capabilities with other business functions like customer relationship management (CRM), enterprise resource planning (ERP), and project planning are essential. Cloud-based productivity software enables hybrid work and remote access, making it flexible for employees working from home or on-the-go. Accessibility on laptops, tablets, and smartphones enhances mobility and productivity. Productivity management software facilitates data analytics, allowing businesses to make informed decisions based on key performance indicators (KPIs) like completion times, turnaround times, and project progress. AI and machine learning capabilities help automate repetitive tasks, reducing errors and improving operational efficiency. Cloud technology ensures scalability and cost-effectiveness, while data security features like encryption, access control, and intrusion detection protect sensitive information. Collaboration tools enable real-time document editing and sharing, fostering effective communication and knowledge transfer among teams. Subscription-based models offer affordability and ease of use, making productivity software accessible to businesses of all sizes. However, businesses must consider the deployment model, data collection, and data silos when choosing a productivity solution to ensure seamless integration and efficient workflows.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

DeploymentCloudOn-premisesEnd-userLarge EnterpriseSMEsGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

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SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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