[New] An EY India survey states, In the next five years, generative AI is expected to increase productivity in the software development space by 43-45%, due to an increased number of IT projects using it.
NERDBOT
[New] By the end of 2026, 80% of enterprises will have moved from AI pilots to full operational deployment, essentially baking intelligence into the way software is made from day one.
Sigma Infosolutions
[New] Global software spending is projected to grow 14.7% to $1.43 trillion in 2026, with AI-related spending expected to triple over the 2025-2026 period.
The Chronicle-Journal
[New] The most capable software systems of 2026 will largely be invisible to end users operating as intelligent fabric beneath products, automating processes, exchanging data, and making decisions without surfacing interfaces.
Magnise
[New] Experts are still forecasting a 15% growth in software development jobs through 2034.
Medium
[New] According to the latest annual technology survey from Yorkshire-based software development firm, Propel Tech, four out of five early-career professionals believe AI will replace people in most areas of work, compared with just 65% of senior leaders.
theHRDIRECTOR
[New] The companies that will define their industries in the next five years are the ones building software that thinks, learns, and adapts - software designed from the ground up to grow smarter with every user interaction and every byte of operational data.
Software Development Company
[New] By 2026, 40% of enterprise software workflows will feature task-specific AI agents, highlighting the rise of Ambient Intelligence across business operations.
techessentia
[New] Enterprise AI agents would create a multi-trillion-dollar opportunity for many industries, from medicine to software engineering.
MIT Sloan
[New] The software sector, which has already been under pressure due to fears of disruption by AI tools, continued to fall on Tuesday, with leaders such as CrowdStrike and ServiceNow losing 3.6% and 1.1%, respectively.
CNBC
[New] Patch management has become a critical component of asset management global strategies as cyber threats increase and software vulnerabilities multiply.
Asset Management Global
[New] With AI workloads driving massive data center expansion-projected to consume 6.7-12 percent of total U.S. electricity by 2028, according to Lawrence Berkeley National Laboratory-software efficiency becomes critical.
IEEE Spectrum
AI/analytics within custom software builds are projected to grow at a rate of 21.5% CAGR through 2035, making it the fastest-growing subsegment and a proxy for rising skill demand.
DesignRush
Hybrid no-code/low-code approaches are poised for dominance, combining visual development with generative AI to enhance citizen development while maintaining platform reliability, potentially reshaping software creation paradigms by 2035.
Grokipedia
In 2026, the global spending on artificial intelligence infrastructure and software is projected to reach 2.52 trillion dollars, representing a 44% year-over-year increase as organizations shift from experimental pilots to core production scaling.
icertglobal.com
AI-Assisted Security Patching and Remediation: By 2027, 70% of corrective code fixes for application security issues will be generated by AI-assisted automated remediation tools, reducing the time to patch software vulnerability down to days.
IDC: The premier global market intelligence company
Artificial Intelligence will reset the nature of software industry.
Rediff.com
The Generative AI sector will see billions in revenue shortly, with software revenue expected to climb toward $85 billion by 2029 as organizations invest in AI-driven workflows.
Boston Institute of Analytics
Gartner expects software spending to surpass $1.4 trillion in 2026.
Seoul Economic Daily
The S&P North American Technology Software Index, home to 110 predominantly larger-cap software companies, is still forecasted to grow revenues this year by 17% and generate free cash flow margins by around 25% (free cash flows divided by revenue).
Carnegie Private Wealth
Private credit markets have lent aggressively to the very software and business services companies that AI threatens most directly, creating an estimated $100 to $150 billion in elevated-risk exposure that has not yet been repriced.
Shanaka Anslem Perera
Shares of software-as-a-service companies like Adobe, Intuit, and Salesforce declined sharply on fears that AI tools might chip away at their business.
Time
Last updated: 02 March 2026
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