McKinsey estimates that big-data analytics could add about $325 billion, or 1.7% to annual GDP in the retail and manufacturing sectors, while generating up to $285 billion in productivity gains and cost savings in health care and government by 2020. The potential savings in health-care costs would ease pressures on government budgets and release resources to boost growth in the rest of the economy.
麦肯锡估算，到2020年，大数据分析学可以为零售和制造部门增加3250亿美元或相当于年GDP的1%的产值，同时为医疗部门和政府带来2850亿美元的生产率提高和成本节约好处。医疗成本的潜在节省将减轻政府预算压力，释放资源用於提振经济的其他部分的增长。